WHICH INVESTMENTS DO BEST—AND WORST—IN A RECESSION
We ran the numbers for seven recessions, and found a big difference between what fared well in the period leading up to recessions and during the recessions themselves.
We ran the numbers for seven recessions, and found a big difference between what fared well in the period leading up to recessions and during the recessions themselves.
With academics, economists and pundits arguing over whether the U.S. is in a recession, many investors are wondering how to shift their portfolios amid the current economic uncertainty and its effect on financial markets.
If we are in a recession, what’s the best way to reposition a portfolio to maximise returns? And if this is just the lead-up to a recession, what then?
My research assistants, Zi Yang and Yuge Pang, and I decided to examine how various asset classes have fared leading up to recessions and during recessions—as defined by the National Bureau of Economic Research—over the past 50 years. We studied the seven recessions in that period (1973-75, 1980, 1981-82, 1990-91, 2001, 2007-09 and 2020) and found that growth stocks led the way in the lead-up to recession. But, once we entered a recession, fixed income far outperformed equity, with international stocks providing the worst returns by far.
The asset classes we examined were U.S. high-yield bonds, U.S. long-term bonds, U.S. short-term bonds, U.S. total fixed income, U.S. growth stocks, U.S. value stocks, U.S. small-cap equity, international equity and U.S. large-cap equity.
In the nine months before the start of a recession, U.S. growth stocks delivered an average monthly return of 0.92% (a compound annualised return of 11.6%), followed by U.S. small-cap equity at 0.83% monthly (10.4% annualised). U.S. total fixed income averaged a monthly return of just 0.48% (5.9% annualised).
But in a recession, U.S. total fixed income averaged a monthly return of 0.62% (7.7% annualised), while U.S. growth stocks returned an average of 0.12% monthly (1.5% annualised). Returns were negative for every other equity class we studied.
Among the fixed-income classes, U.S. high-yield bonds are notable for having the lowest average monthly return of any of the asset classes we studied in the lead-up to a recession, at 0.14% (1.7%% annualised), and for being the only fixed-income class with a negative return during a recession, at a monthly average of negative 0.08% (minus 0.9% annualised).
On the equity side, international equity was easily the worst performer in a recession, at negative 0.93% a month on average (minus 10.6% annualised). That compares with an average monthly return of 0.80% (9.9% annualised) in the lead-up to a recession—the biggest difference for any asset class between returns before and during a recession.
The takeaway from it all, if history can tell us anything, is that once we enter a recession, the average investor best be prepared to head toward fixed-income assets and get out of international equities.

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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.